numpy.isnat(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'isnat'>

Test element-wise for NaT (not a time) and return result as a boolean array.


x : array_like

Input array with datetime or timedelta data type.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where : array_like, optional

Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.


For other keyword-only arguments, see the ufunc docs.


y : ndarray or bool

For scalar input, the result is a new boolean with value True if the input is NaT; otherwise the value is False.

For array input, the result is a boolean array of the same dimensions as the input and the values are True if the corresponding element of the input is NaT; otherwise the values are False.


>>> np.isnat(np.datetime64("NaT"))
>>> np.isnat(np.datetime64("2016-01-01"))
>>> np.isnat(np.array(["NaT", "2016-01-01"], dtype="datetime64[ns]"))
array([ True, False])

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